Projects

Overview

An AI-powered driver drowsiness monitoring system designed to detect early signs of driver drowsiness using computer vision and deep learning, and alarm in vision, hearing and touch.

Problem

Driver drowsiness is one of the major causes of traffic accidents, yet it is difficult to detect in real time before dangerous situations occur.

Target Users

Long-haul truck drivers, ride-share drivers, and fleet management companies seeking to reduce fatigue-related accidents.

Product Idea

A non-intrusive, camera-based monitoring solution that continuously analyzes driver alertness and delivers timely multi-sensory alerts (visual, audio, haptic) before dangerous drowsiness levels are reached.

My Role

• •Product requirement definition
• •CNN model design
• •Human-machine interaction prototype
• •Hardware and software integration

Impact